Join iVendi and RudderStack for a behind-the-scenes look at how they built a modern, real-time analytics and serving architecture to power personalized, AI-driven chat experiences.

Before RudderStack, iVendi needed a reliable way to collect, assemble, and serve fresh customer context across systems, without introducing latency, governance gaps, or operational complexity. In this session, you’ll learn how iVendi designed an end-to-end workflow using RudderStack, ClickHouse, and Vercel to deliver accurate, real-time customer data exactly when their applications need it.

You’ll hear how the team:

• Designed architecture to support real-time personalization
• Used RudderStack to reliably collect and route high-quality customer data
• Leveraged ClickHouse for fast, scalable analytics and low-latency queries
• Integrated Vercel to serve fresh customer context directly into AI-powered chat experiences

You’ll also learn:

• How iVendi ensures customer context stays accurate and up to date
• Key architectural decisions and lessons learned along the way
• Practical strategies for building real-time personalization without over-engineering

Whether you’re building AI-driven customer experiences, modernizing your analytics stack, or looking to operationalize real-time data, this webinar offers concrete, battle-tested guidance from a team doing it in production.